structured-generation

Installation
SKILL.md

Structured Generation

Pain Signals — You Need This Pattern When:

  • LLM output is parsed with regex, string splitting, or "hope"
  • Downstream code breaks when the LLM returns an unexpected format
  • The same prompt sometimes returns JSON, sometimes prose, sometimes partial JSON
  • You are writing brittle extraction code to pull structured data from free text
  • Different calls to the same prompt produce outputs with different field names or shapes
  • A parsing failure means the entire operation fails with no recovery path

Core Principle

An LLM is a function. Like any function, it should have a defined return type. Structured Generation constrains the output to a schema so the caller can rely on the shape without parsing or guessing.

The constraint happens at three possible levels — use the strongest one available:

Installs
1
GitHub Stars
3
First Seen
Aug 22, 2026